There is increasing evidence that androgens play a significant role in the development and progression of breast cancer. 5alpha-Reductase (SRD5A2) is an enzyme that is expressed in androgen-dependent tissues, and it catalyzes the reduction of testosterone to its more bioactive form, dihydrotestosterone, which then transactivates a number of genes. One of these genes encodes for prostate-specific antigen (PSA), a favorable prognostic factor in breast cancer. The 3' untranslated region of the SRD5A2 gene contains either no TA repeats [(TA)0] or 9 [(TA)9] or 18 [(TA)18] repeats. Variations in the length of these dinucleotide repeats have been reported to influence the enzymatic activity of SRD5A2. In this study, we determined the TA genotypes in DNA from 141 well-characterized breast tumors and in DNA from whole blood of 70 women without cancer. The presence of TA genotypes was then associated with tumor cytosolic PSA concentrations and with clinicopathological variables, including disease-free survival and overall survival. Three genotypes, (TA)0 homozygote, (TA)0/(TA)9 heterozygote, and (TA)9 homozygote, were identified. No (TA)18 alleles were detected in any of the two patient groups. A statistically significant association between high PSA concentrations and (TA)0/(TA)9 or (TA)9 genotypes was observed (P = 0.004). (TA)0/(TA)9 or (TA)9 genotypes were found less frequently in patients at stage III or IV disease. TA genotypes were not associated with other clinicopathological variables by contingency table analysis. Patients with (TA)0/(TA)9 or (TA)9 repeats, when compared to those with genotypes homozygous for the (TA)0 allele, showed a significant reduction in the risk for relapse (P = 0.043). Long-term studies are needed to investigate the relevance of this polymorphism to breast cancer susceptibility.
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J Med Internet Res
January 2025
Cancer Screening, American Cancer Society, Atlanta, GA, United States.
Background: The online nature of decision aids (DAs) and related e-tools supporting women's decision-making regarding breast cancer screening (BCS) through mammography may facilitate broader access, making them a valuable addition to BCS programs.
Objective: This systematic review and meta-analysis aims to evaluate the scientific evidence on the impacts of these e-tools and to provide a comprehensive assessment of the factors associated with their increased utility and efficacy.
Methods: We followed the 2020 PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines and conducted a search of MEDLINE, PsycINFO, Embase, CINAHL, and Web of Science databases from August 2010 to April 2023.
Cien Saude Colet
January 2025
Universidade Federal do Ceará. R. Alexandre Baraúna 1115, Rodolfo Teófilo. 60430-160 Fortaleza CE Brasil.
Mammography is one of the main methods available for breast cancer screening in Brazil. However, differences in timely access and performance of the exam can be highlighted based on social determinants of health, considered relevant due to their influence on the health situation of a population. Thus, the present study aimed to identify the social determinants of health associated with access to and performance of mammography in Brazilian women.
View Article and Find Full Text PDFCien Saude Colet
January 2025
Instituto René Rachou, Fundação Oswaldo Cruz (Fiocruz Minas). Av. Augusto de Lima 1715, Barro Preto. 30190-002 Belo Horizonte MG Brasil.
This article aims to identify the relationship between material deprivation and mortality from breast, cervical, and prostate neoplasms in the Brazilian adult population and the relationship between ethnicity/skin color and material deprivation. This cross-sectional ecological study calculated the mean mortality rate per 100,000 inhabitants, and deaths were standardized by age and gender and redistributed per to ill-defined causes, stratified by age group and ethnicity/skin color. We applied the Negative Binomial model, containing the interaction between ethnicity/skin color and the Brazilian Deprivation Index (IBP).
View Article and Find Full Text PDFBrief Bioinform
November 2024
Center for Artificial Intelligence Research, Wake Forest University School of Medicine, Winston-Salem, NC 27101, United States.
Pathway analysis plays a critical role in bioinformatics, enabling researchers to identify biological pathways associated with various conditions by analyzing gene expression data. However, the rise of large, multi-center datasets has highlighted limitations in traditional methods like Over-Representation Analysis (ORA) and Functional Class Scoring (FCS), which struggle with low signal-to-noise ratios (SNR) and large sample sizes. To tackle these challenges, we use a deep learning-based classification method, Gene PointNet, and a novel $P$-value computation approach leveraging the confusion matrix to address pathway analysis tasks.
View Article and Find Full Text PDFCancer Res
January 2025
INSERM U1194, Montpellier Cedex 05, Occitanie, France.
BRCA1 deficiency is observed in approximately 25% of triple-negative breast cancer (TNBC). BRCA1, a key player of homologous recombination (HR) repair, is also involved in stalled DNA replication fork protection and repair. Here, we investigated the sensitivity of BRCA1-deficient TNBC models to the frequently used replication chain terminator gemcitabine, which does not directly induce DNA breaks.
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